基于RBF的范例检索方法的研究

RBF BASED CASE RETRIEVAL METHODOLOGY

基于范例知识的诊断是近年来故障诊断领域一个新的研究课题，径向基函数(RBF)是基于相似度的神经元函数。针对基于相似度范例检索存在的不足，将RBF引入范例检索机的设计之中。提出基于RBF的范例检索模型。并通过对模型网络的改进，使检索模型更适合于诊断实际。仿真和实例表明，基于RBF的范例检索方法优于基于BP网检索，是行之有效的方法。

The diagnosis method based on CBR is focused in fau lt diagnosis recently. Radial basis function (RBF)is a kind of neuron functions based on similarity. In allusion to the problem of similarity based case retrie val, the RBF is introduced into design of case retrieval and a RBF based model i s proposed in this paper. By means of improving the model network, the retrieval model becomes more suitable for practical diagnosis. Simulation and practical a pplication show that the RBF based retrieval is better and more effective than B P based one.